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Found 4 papers, 2 papers with code
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Large pretrained (e. g., "foundation") models exhibit distinct capabilities depending on the domain of data they are trained on.
Ranked #21 on
Video Retrieval
on MSR-VTT-1kA
(video-to-text R@1 metric)
Implicit Behavioral Cloning
We find that across a wide range of robot policy learning scenarios, treating supervised policy learning with an implicit model generally performs better, on average, than commonly used explicit models.
Forecasting Using Reservoir Computing: The Role of Generalized Synchronization
Reservoir computers (RC) are a form of recurrent neural network (RNN) used for forecasting time series data.
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research
Autonomous fabric manipulation is a longstanding challenge in robotics, but evaluating progress is difficult due to the cost and diversity of robot hardware.
